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2008 Category Leader Patient Accounting and Patient Management Community

2008 KLAS Category Leader Patient Accounting and Patient Management (Community)

Who is theKLAS Category Leader?

McKesson

See the latest BEST IN KLAS 2018

2022 Best in KLAS Awards - Global Software
2022 GLOBAL
2022 Best in KLAS Awards - Software and Professional Services
2022 BEST IN KLAS

How do Patient Accounting and Patient Management solutions compare?


McKesson Logo
Paragon Financials
Konfidence
Average for Patient Accounting and Patient Management75.0
50
 
100
 

2

CPSI Logo
Healthland Financials
 
 

3

Harris Healthcare Logo
QuadraMed Affinity Financials
 
 

4

MEDHOST Logo
HMS Financials
 
 

5

MEDITECH Logo
Meditech C/S Patient Accounting/ADT
 
 

6

CPSI Logo
Financials
 
 

7

Siemens Healthineers Logo
Siemens MedSeries4 Financials
 
 

8

Keane Logo
Patcom
 
Software 0.0
 

Past Patient Accounting and Patient Management Awards

2022
Patient Accounting & Patient Management 2022 Large - Over 200 Beds Large - Over 200 Beds
Patient Accounting & Patient Management 2022 Small - 1-200 Beds Small - 1-200 Beds
2021
Patient Accounting & Patient Management 2021 Community Hospital Community Hospital
Patient Accounting & Patient Management 2021 Large Hospital / IDN Large Hospital / IDN
2020
Patient Accounting & Patient Management 2020 Community Hospital Community Hospital
Patient Accounting & Patient Management 2020 Large Hospital / IDN Large Hospital / IDN
2019
Patient Accounting & Patient Management 2019 Community Hospital Community Hospital
Patient Accounting & Patient Management 2019 Large Hospital / IDN Large Hospital / IDN
2018
Patient Accounting & Patient Management 2018 Community Hospital Community Hospital
Patient Accounting & Patient Management 2018 Large Hospital/IDN Large Hospital/IDN
2017
Patient Accounting and Patient Management 2017 Community Hospital Community Hospital
Patient Accounting and Patient Management 2017 Large Hospital/IDN Large Hospital/IDN
2015/2016
Patient Accounting and Patient Management 2016 Patient Accounting and Patient Management
Patient Accounting and Patient Management 2016 Community Community
2014
Patient Accounting and Patient Management 2014 Patient Accounting and Patient Management
Patient Accounting and Patient Management 2014 Community Community
2013
Patient Accounting and Patient Management 2013 Community - 1-200 Beds Community - 1-200 Beds
Patient Accounting and Patient Management 2013 Large - Over 200 Beds Large - Over 200 Beds
2012
Patient Accounting and Patient Management 2012 Community - 1-200 Beds Community - 1-200 Beds
Patient Accounting and Patient Management 2012 Large - Over 200 Beds Large - Over 200 Beds
2011
Patient Accounting and Patient Management 2011 Community - 200 or Less Beds Community - 200 or Less Beds
Patient Accounting and Patient Management 2011 Large - Over 200 Beds Large - Over 200 Beds
2010
Patient Accounting and Patient Management 2010 Large - Over 200 Beds Large - Over 200 Beds
Patient Accounting and Patient Management 2010 Small - 200 or Less Beds Small - 200 or Less Beds
2009
Patient Accounting and Patient Management 2009 Patient Accounting and Patient Management
Patient Accounting and Patient Management 2009 Community Community
2008
Patient Accounting and Patient Management 2008 Community Community
Patient Accounting and Patient Management 2008 Large - Over 200 Beds Large - Over 200 Beds
2007
Acute Care Registration, Scheduling and Patient Accounting 2007 Community Community
Acute Care Registration, Scheduling and Patient Accounting 2007 Large Large
2006
Acute Care Registration Scheduling Patient Accounting 2006 Community Community
Acute Care Registration Scheduling Patient Accounting 2006 Large Large
2005
Acute Care Registration Scheduling Patient Accounting 2005 Large Large
Acute Care Registration Scheduling Patient Accounting 2005 Small Small
Related ReportsView All Reports
Best in KLAS
KLAS article icon
2021 Best in KLAS Awards - Software and Professional Services
02 February 21    |   Mark Allphin and Sam Eaquinto
The Best in KLAS report recognizes software and services companies who excel in helping healthcare professionals improve patient care. All rankings are a direct result of the feedback of thousands of providers over the last year. A Best in KLAS award signifies to the healthcare IT industry the commitment and partnership that the top vendors should provide. Read the report to see the top-rated medical software and services for 2021. Watch sessions from our first-ever virtual Best In KLAS Award Show to hear from the winning vendors in each segment. View Awards Show Recordings
Performance
KLAS article icon
Cerner Revenue Cycle Management, Report 4 of 4
13 February 20    |   Alex McIntosh and Boyd Stewart
In August 2018, representatives from some of Cerner’s largest and most complex customers met with Cerner executives to participate in a transparent summit around revenue cycle success. The purpose of this summit was to provide insights that would enable Cerner to conduct a significant pivot to regain client confidence and deliver a world-class RCM solution. In KLAS’ previous follow-up reports, customers reported that Cerner has delivered a road map, become more transparent, and worked to improve client relationships. This report is the final in the series and focuses on the tangible improvements that have been realized since the August 2018 summit.

Konfidence

Konfidence level
Konfidence Level Description
Products must have at least 30 live organizations participating for software and at least 15 live organizations for professional services. Exception to this is Transcription Services (30).
Products must have at least 20 live organizations participating for software and at least 10 live organizations for professional services. Exception to this is Transcription Services (20).
Products must have at least 15 live organizations participating for software and at least 6 live organizations for professional services. Exception to this is Transcription Services
-
The Konfidence level on this product rating is low. These results are for early trend detection. As more performance data is received, the result is likely to have a wide variance.
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